Search Results for "machine" - Page 29
Sort By:
Showing 1802 open source projects for "machine"
View related business solutions-
Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
FCML
A machine code manipulation library for Intel 64 and IA-32.
This is a general purpose machine code manipulation library for IA-32 and Intel 64 architectures. The library supports UNIX-like systems as well as Windows and is highly portable. The FCML library is free for commercial and non-commercial use as long as the terms of the LGPL license are met. Currently it supports such features as: - A one-line disassembler - A one-line assembler - An experimental multi-pass load-and-go assembler (Multi line!) -
2
Emojicode
World’s only programming language that’s bursting with emojis
Emojicode is an open-source, full-blown programming language consisting of emojis. As a multi-paradigm language, Emojicode features object orientation, optionals, generics, closures, and protocols. Emojicode compiles native machine code using lots of optimizations that make your code fast. Emojicode comes with a comprehensive set of default packages. And you can easily write your own. We believe that Emojis have expressive force. Let’s use that to make programming more fun and accessible. Emojicode is a straightforward language to learn, whatever background you have. ... -
3
PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). -
4
PPface
PPface is vector processor emulator / simulator
PPface is vector processor emulator / simulator (SIMD array processor with 1-bit processing elements). VEPRAN language used to design parallel algorithms and operate data slices. The system allows to visualize algorithm work by viewing vector memory and registers, it supports debugging and animated program execution. To run this app on 64-bit system please install Windows Virtual PC and Windows XP Mode. -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
5
MozOS
Complete Edition
Universal ThinKing Machine -
6
rpackage conjurer
Synthetic data generation using R
Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples. -
7
GHC (Glasgow Haskell Compiler)
Mirror of the Glasgow Haskell Compiler
GHC (Glasgow Haskell Compiler) is the leading open-source compiler and interactive environment for the Haskell programming language, supporting the Haskell 2010 standard plus numerous language extensions. It compiles to native machine code (via LLVM or C), and includes the interactive GHCi REPL. For full information on building GHC, see the GHC Building Guide. Here follows a summary - if you get into trouble, the Building Guide has all the answers. For building library documentation, you'll need Haddock. To build the compiler documentation, you need Sphinx and Xelatex (only for PDF output). -
8
FirePlus
Complete Edition
Universal ThinKing Machine -
9
Tevor
Your own mini Travis CI to run tests locally
Trevor is a command-line tool that acts like a mini local Travis CI, running your test matrix on your machine using the configuration from your .travis.yml file. Instead of pushing code to a CI service just to see if tests pass on multiple Node.js versions, you run Trevor locally and it will iterate through each specified version. Under the hood it orchestrates Node.js version switching (via n/nvm or Docker setups) and executes the configured test script as Travis would. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
10
So Simple Jekyll Theme
A simple Jekyll theme for words and pictures
So Simple is a simple Jekyll theme for your words and pictures. Built to provide a variety of layouts with clean and readable typography. Microformats markup to make post content machine-readable and discoverable. Disqus Comments and Google Analytics support. SEO best practices via Jekyll SEO Tag. Options to customize the theme and make it your own. -
11
ZM
A library to handle coroutine and green thread in C
ZM is a C library to handle continuations (coroutine, exception, green thread) with finite state machines. The library is written in C99 without external dependecy or machine-specific code and can be compiled in ansi-c or ansi-c++ with the minal effort to define two unsigned int type (uint8_t and uint32_t). -
12
PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
13
PigIron
Java bridge to IBM z/VM System Management API
PigIron is an open source Java class library which implements the client side of the IBM z/VM Virtual Machine Operating System Systems Management Application Programming Interface (VSMAPI). PigIron is not associated with the IBM corporation. -
14
Jekyll-Instagram Plugin
A Jekyll plugin for displaying your recent Instagram photos
...Then for the plugin to be able to communicate with Instagram you will need to register an application with the Instagram Basic Display API and then make your access token available as an environment variable on your dev/build machine named JEKYLLGRAM_TOKEN. Your Instagram account will need to be public for this to work correctly. To avoid making your main account public you can create a separate Instagram account just for your public feed and use that account. There is a working example of a basic Jekyll site using this plugin that is available in the example directory of this repo. -
15
transformer
A TensorFlow Implementation of the Transformer
Transformer is a TensorFlow implementation of the architecture introduced in the Attention Is All You Need paper. It was created as a readable and relatively modular reference for understanding and experimenting with Transformer-based machine translation. The updated implementation corrects issues involving masking, positional encoding, and other parts of the original code. It adds components such as byte-pair encoding and shared weight matrices. Training and evaluation are demonstrated with the IWSLT 2016 German-to-English translation dataset. The repository includes preprocessing, training, inference, evaluation, configurable hyperparameters, pretrained checkpoints, and BLEU-based translation results. -
16
MLBox
MLBox is a powerful Automated Machine Learning python library
MLBox is a powerful Automated Machine Learning python library. Fast reading and distributed data preprocessing/cleaning/formatting. Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. -
17
TensorFlow Haskell
Haskell bindings for TensorFlow
The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. Run the install_macos_dependencies.sh script in the tools/ directory. The script installs dependencies via Homebrew and then downloads and installs the TensorFlow library on your machine under /usr/local. ... -
18
abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models,... -
19
X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely... -
20
NativeScript Documentation
Documentation, API reference, and code snippets for NativeScript
...Learning native platforms through JavaScript understanding. Exploring platform API documentation by trying APIs directly from a web browser without requiring a platform development machine setup. -
21
benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. ... -
22
minikube php_psql redis
The environment using Minikube to show a simple PHP page with PostgreS
minikube_php_psql_redis The environment using Minikube to show a simple PHP page with PostgreSQL and Redis. Tested on MacOsx with: Docker version 18.09.1, build 4c52b90 Minikube version: v0.33.1 Client/Server Version: version.Info{Major:"1", Minor:"13", GitVersion:"v1.13.2" Redis not tested yet! -
23
Static Site Boilerplate
A better workflow for building modern static websites
...Automated build processes, a local development server, production minification and optimizations, and the latest standards for static websites. Get up and running in seconds with the built-in development server. No need to have a pre-existing server installed on your machine to start developing. Your HTML, styles, and scripts will be automatically linked, concatenated, and minified for optimal loading speed in production. Write your CSS with Sass or Less and without vendor prefixes. Your styles will be automatically processed and prefixed with data based on current browser popularity. All changes to your files while developing are monitored in real-time. ... -
24
Django Celery
Old Celery integration project for Django
Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages, while providing operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and contributors, you should come join us on IRC or our mailing-list. Celery is Open Source and licensed under the BSD License. A task queue’s input is a unit of work called a... -
25
Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive.
